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Öğe Midkine level may be used as a noninvasive biomarker in Crohn's disease(Tubitak Scientific & Technological Research Council Turkey, 2020) Kekilli, Murat; Tanoglu, Alpaslan; Karaahmet, Fatih; Dogan, Zeynal; Can, Murat; Sayilir, Abdurrahim; Cakal, BasakBackground/aim: Crohn's disease (CD) is a kind of inflammatory bowel disease. Midkine (MDK) is an endogenous inflammatory marker. We aimed to investigate the relationship between MDK levels and inflammation and hence determine whether MDK can be used as a noninvasive biomarker in active CD. Materials and methods: Sixty-five consecutive patients over the age of 18 with CD and 36 healthy controls were included in this study. CD patients' venous blood samples were taken before treatment. Serum MDK levels were determined in human plasma samples by enzyme-linked immunosorbent assay (ELISA) method. Results: The mean age of the study patients was 44.8 +/- 12.5 years, 35 patients were female, and 30 were male. Of these 65 patients, 37 had active CD and 28 were in the remission phase. MDK levels were significantly higher in active and remission CD than in healthy controls (P = 0.01, P = 0.038, respectively). Conclusion: We report that there is an association between MDK levels and CD activation, and therefore with enhanced inflammation. MDK levels were significantly correlated with inflammatory indices. In line with our findings, we suggest the theory that MDK inhibitors may be useful in treating Crohn's disease.Öğe The potential of Raman and FT-IR spectroscopic methods for the detection of chlorine in human nail samples(Humana Press Inc, 2020) Toprak, Sadik; Kahrıman, Fatih; Dogan, Zekeriya; Ersoy, Gokhan; Can, Emine Yilmaz; Akpolat, Meryem; Can, MuratAlthough chlorine (Cl2) has been used as a chemical warfare agent since World War I there is no known specific and reliable biomarker to indicate the presence of chlorine. We distinguished chlorinated human nails from unchlorinated ones using Raman spectroscopy and Fourier Transform Infrared (FT-IR) Spectroscopy. This research was carried out between October 2018 and July 2019 on two nail samples taken from 55 male and 104 female volunteers. One sample from each participant was chlorinated, while the second sample was used as a control. Spectral data were collected from chlorinated and unchlorinated (control) human nails using Raman and FT-IR spectroscopy. Raman measurements were made between 100 and 3200 cm(-1), while FT-IR measurements were recorded over the range of 650 to 4000 cm(-1). Partial least squares regression-discriminant analysis (PLS-DA) was used to develop classification models for each spectral instrument. Results showed that the control and chlorinated nail samples were successfully discriminated with similar results achieved with both instruments. Minor differences were observed in the performance of classification models. The FT-IR spectroscopy model (sensitivity = 95%, specificity = 99%, accuracy = 97%) was found to be more successful with a smaller margin of error (sensitivity = 95%, specificity = 99%, accuracy = 96%) compared to the Raman spectroscopy model. This method can be used successfully for both ante-mortem and post-mortem diagnosis of chlorine exposure.